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Record W3214383589

Mapeo del síndrome cerebeloso cognitivo afectivo en pacientes con accidentes cerebrovasculares crónicos

2021· article· es· W3214383589 on OpenAlex
Amanda Chirino Pérez Autor, Conducción Juan Fernández Ruiz Tutor Principal, Erick Humberto Pasaye Alcaraz Tutor Adjunto, Oscar René Marrufo Meléndez Tutor Externo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldPsychology
TopicDevelopmental and Educational Neuropsychology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesGynecologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

I. Antecedentes y justificacion del estudio El sindrome cerebeloso cognitivo afectivo (SCCA) ha sido descrito consistente en pacientes con lesiones cerebelosas agudas y subagudas; sin embargo, su persistencia en pacientes cronicos es controvertida y no ha sido explorada con nuevos instrumentos dirigidos al cerebelo,  como la escala SCCA (E-SCCA). II. Objetivo Probar y contrastar la utilidad de la E-SCCA y la Evaluacion Cognitiva de Montreal (MoCA) para examinar el deterioro cognitivo/afectivo en pacientes con lesiones cerebelosas cronicas; y mapear las areas cerebelosas cuyas lesiones subyacen a las disfunciones en estas pruebas. III. Metodologia Se administraron la E-SCCA y el MoCA a 22 pacientes con infartos cerebelosos cronicos y a 22 controles sanos. Las bases neuronales que sustentan ambas pruebas se exploraron con metodos de mapeo multivariado de sintoma-lesion (MSL). IV. Resultados La prueba MoCA y la E-SCCA mostraron un desempeno diagnostico adecuado. Sin embargo, solo los hallazgos cognitivos identificados con la E-SCCA se asociaron a una localizacion regional especifica en zonas lesionadas del cerebelo. Los pacientes con lesiones cronicas en regiones postero-laterales derechas del cerebelo manifestaron alteraciones propias del SCCA. Estos hallazgos coincidieron con la dicotomia anterior-sensoriomotora/posterior-cognitiva que identifica al cerebelo humano. Ademas, en el caso de las tareas verbales, los resultados revelaron regiones clinicamente significativas intra y translobulares (porciones derechas del lobulo VI ,VII, Crus I-II) que estuvieron superpuestas con los limites funcionales del lenguaje en el cerebelo. V. Conclusiones Nuestros hallazgos demostraron la utilidad del MoCA y la E-SCCA para identificar alteraciones cognitivas en pacientes con lesiones cerebelosas cronicas. Este estudio amplia la comprension del SCCA e introduce el uso de metodos multivariados de MSL para identificar regiones intra y trans lobulares que son clinicamente significativas para el SCCA cronico.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0600.014

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.312
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it